This repository aims to implement S4 model, presented by Gu et al. in ICLR2022 and follow further research on this topic. Code is in JAX. Initial code is inspired from S4 blog by @srush. Unlike this blog which aims to develope intuition for S4 model and the math behind it, this repo is more of a appreciation and analysis of the jax ...

2022年3月25日 · Note that this project uses JAX with the Flax NN library. While we personally mainly use Torch, the functional nature of JAX is a good fit for some of the complexities of S4. We make heavy use of vmap, scan, their NN cousins, and most importantly jax.jit to compile fast and efficient S4 layers.

Chinese Version - The Annotated S4 with Jax. Contribute to deepbiolab/s4-in-depth development by creating an account on GitHub.

The Annotated S4 explores the Structured State Space architecture for long-range sequence modeling in vision, language, and audio.

Parallel scans are used for efficient offline processing. The S5 layer builds on the prior S4 work (paper). While it has departed considerably, this repository originally started off with much of the JAX implementation of S4 from the Annotated S4 blog by Rush and Karamcheti (available here).

2021年10月31日 · We propose the Structured State Space sequence model (S4) based on a new parameterization for the SSM, and show that it can be computed much more efficiently than prior approaches while preserving their theoretical strengths.

Jax is an unique champion, as he can build in so many different ways. Listing them will help you. - Tank. If your team has low defense, you can initiate a teamfight without problems. Try to do this after you get some HP/Armor/Magic resist. - AD/Hybrid split pusher.

[S4][ADC] Jax - Crying won't save you [Updated for S4!]. Jax build guides on MOBAFire. League of Legends Premiere Jax Strategy Builds and Tools.

2022年7月6日 · Structured State Space for Sequence Modelling (S4) This repository aims to implement S4 model, presented by Gu et al. in ICLR2022 and follow further research on this topic. Code is in JAX. Initial code is inspired from

Structure State Space (S4) Model is a new class of models that are based on the control theory: State space models). In this replication project, we are treating this state space model as established, and focused on how can we leverage deep neural networks to efficiently parameterize three matrices A,B,C. Why S4 is good at long sequence modeling?